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Figure 6 in Effect of water stress on weed germination, growth characteristics, and seed production: a global meta-analysis
Figure 6. Density plots depicting the distribution of the individual effect sizes for all 12 response variables considered in this meta-analysis: (A) weed seed germination/emergence; (B) radicle/root length, plant height, and leaf area; (C) branches/tillers per plant, leaves per plant, inflorescences per plant, and seeds per plant; and (D) total biomass, root biomass, shoot biomass, and root:shoot ratio.
Figure 2 in Effect of water stress on weed germination, growth characteristics, and seed production: a global meta-analysis
Figure 2. Overall water-stress effects on weed germination/emergence, growth characteristics, and seed production. The vertical black dashed line represents zero effect. The black dots are overall mean effect sizes, and the black lines are 95% confidence intervals (CIs). The values in parentheses are the number of observations followed by the number of studies for each pair-wise comparison. The mean effect sizes were considered significantly different when their 95% CIs did not include zero.
Figure 1. Response curves for percent acetyl-coenzyme A in Detecting the effect of ACCase-targeting herbicides on ACCase activity utilizing a malachite green colorimetric functional assay
Figure 1. Response curves for percent acetyl-coenzyme A carboxylase (ACCase) activities of resistant and susceptible Digitaria ciliaris biotypes in response to the increasing concentrations of the ACCase-targeting herbicides, sethoxydim, clethodim,fluazifop-p-butyl, and pinoxaden.The response was modeled based on the log rate of ACCase-targeting herbicides to create equal spacing between rates using least-squares fit regression of ACCase activity to the non-treated check. Means are represented by differing symbols for each biotype, and regression equation models are represented by differing line types for each biotype. Vertical bars represent the standard errors of the means (n = 6). Digitaria ciliaris biotypes: R1 and R2, resistant; S, susceptible. The concentration of ACCase-targeting herbicides required to cause 50% inhibition of ACCase activity (IC50) was calculated from concentration-response curves. CI, confidence interval.
Figure 5 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 5. Effect of osmotic potential on the germination of Achnotherum inebrions seeds at 25 C. Vertical bars represent the standard error of the mean, and a logistic sigmoidal regression model is fit to the data.
Figure 6 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 6. Germination of Achnotherum inebrions seeds at low osmotic potential. The vertical bars represent the standard error of the mean. Bars with the same letters indicate that there are no significant differences in the mean values by Fisher's protected LSD test (P ≤ 0.05).
Figure 7 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 7. Effect of burial depth on the emergence of A. inebrions seeds at 25 C. Vertical bars represent the standard error of the mean,and a logistic sigmoidal regression model is fit to the data.
Figure 5 in Effect of water stress on weed germination, growth characteristics, and seed production: a global meta-analysis
Figure 5. The log response ratio for weed growth characteristics (plant height, leaf area, branches/tillers per plant, leaves per plant,root biomass, shoot biomass, and root:shoot ratio) and seed production (inflorescences per plant and seeds per plant) as a function of water-stress intensity. Water stress increased as soil moisture (% field capacity) decreased and vice versa. The green and red dots represent broadleaf and grass weed species, respectively. The solid black points and the lines represent mean effect sizes and their 99% confidence intervals (CIs) for low (>60%), moderate (30%–60%), and severe (<30% field capacity) water-stress subgroups. The mean effect sizes were considered significantly different when their 99% CIs did not include zero. Similarly, the water-stress effects were significantly different for each subgroup and among weed types only when their 99% CIs did not overlap with one another.
Figure 4 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 4. Effect of buffered pH solutions on the germination of Achnotherum inebrions seeds at 25 C. The vertical bars represent the standard error of the mean. Bars with the same letters indicate that there are no significant differences in the mean values by Fisher's protected LSD test (P ≤ 0.05).
Figure 3 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 3. Effects of different photoperiods on the germination of Achnotherum inebrions seeds under 25 C culture conditions. Bars with the same letters indicate that there are no significant differences in the mean values by Fisher's protected LSD test (P ≤ 0.05).
Figure 2 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 2. Effect of rewarming on the germination of Achnotherum inebrions seeds at 30/20 C. Rewarming refers to the transfer of ungerminated seeds kept under a constant temperature of 10, 35, or 40 C to a growth chamber set at the optimal temperature, 25 C (CK). The vertical bars represent the standard error of the mean. Bars with
Figure 1 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 1. Effect of rewarming on the germination of Achnotherum inebrions seeds at 25 C. Rewarming refers to the transfer of ungerminated seeds kept under a constant temperature of 10, 35, or 40 C to a growth chamber set at the optimal temperature, 25 C (CK). The vertical bars represent the standard error of the mean. Bars with the same
Figure 5 in Under pressure: maternal effects promote drought tolerance in progeny seed of Palmer amaranth (Amoronthus polmeri)
Figure 5. Shifts in distribution of base water potential of progeny seeds from two Amoronthus polmeri populations (California and Kansas) grown under contrasting maternal water conditions (continuous̜ ̜ ̹ water-deficit ̹ vs. well-watered). Seed germination was tested at two temperatures (20 and 30 C) under five water potentials. A hydrotime model, ̜ ̹ θ Equation 3, g w,t¼ Φ w ― H w,σ, was fit to estimate the median base water potentials, w (vertical dashed lines), and their respective standard deviations, σ, g tg bð50Þ wb bð50Þ wb to produce these probability density curves of normal distribution (see Table 1 for parameter estimates). Note that the area under the curve for base water potential values>0 indicates the proportion of seeds that have not germinated (i.e., dormancy level).
Figure 1 in Under pressure: maternal effects promote drought tolerance in progeny seed of Palmer amaranth (Amoronthus polmeri)
Figure 1. Plant height for Amoronthus polmeri populations (California and Kansas) grown under continuous water-deficit or well-watered irrigation conditions. Vertical lines on bars indicate SE.
Figure 4 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 4. Effects of the interaction of weed establishment time and distance from the crop row on Amoronthus polmeri dry weight before soybean harvest. Vertical bars represent ± standard error of the mean (SE2014 = 1.27; SE2015 = 0.74) from the analysis for comparisons between weed establishment times with sample size n = 72. WAE, weeks after soybean emergence.
Figure 3 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 3. Effects of the interaction of weed establishment time and distance from the crop on Amoronthus polmeri plant height at harvest. Vertical bars represent ± standard error of the mean (SE2014 = 4.68; SE2015 = 3.14) from the analysis for comparisons between weed establishment times with sample size n = 72. WAE, weeks after soybean emergence.
Figure 7 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 7. Relationship between ground cover and extinction coefficient for each sampling date (n = 12 plots) throughout the 2014 growing season. WAE, weeks after soybean emergence.
Figure 2 in The bioprotective role of irradiated hibiscus against harmful effects of using repeatedly frying edible oil
Figure 2. Showing both Macroscopic images and histological study of Liver samples from all studied groups, "A" normal group, and "B" from "G2", showing completely normal liver and normal hepatic parenchyma; note the normal central vein, hepatocytes, and blood sinusoids, while in "C", frying oil group"G3" showing fibrosis and congestion in the central vein (arrow head), Swelling degeneration of some hepatocytes (arrows) with focal areas of necrotic hepatocytes. Whereas, In both "D" as well as, "E" hibiscus groups, liver is completely normal and showing healthy and normal portal area; note the normal bile duct, hepatic artery, and portal vein, (HE X400) (Score lesion: 0).
Figure 1 in The bioprotective role of irradiated hibiscus against harmful effects of using repeatedly frying edible oil
Figure 1. Showing the levels of oxygen consumption in studied groups, there are significant decreases in oxygen consumption in frying oil group "G3" compared with all groups, while there are significant increases in oxygen consumption in hibiscus groups "G4 and G5" compared with "G3".
Figure 4 in Under pressure: maternal effects promote drought tolerance in progeny seed of Palmer amaranth (Amoronthus polmeri)
Figure 4. The effect of maternal water conditions (continuous water-deficit vs. well-watered) on cumulative germination of progeny seeds in two Amoronthus polmeri populations (California and Kansas) tested under various water potentials at 30 C. Lines are fitted values obtained from the hydrotime model, Equation 3, ̜ ̹ ̜ ̜ ̹ ̹ g w,t¼ Φ w ― θH,w,σ, with parameter estimates shown in Table 1. g tg bð50Þ wb
Figure 2 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 2. Soybean and Amoronthus polmeri (AMAPA) height (averaged across distance from the crop) at 0, 1, 2, 4, 6, and 8 wk after soybean emergence (WAE) (i.e., AMAPA-0, AMAPA-1, AMAPA-2, AMAPA-4, AMAPA-6, and AMAPA-8, respectively). Vertical bars represent ± standard error of the mean from the analysis for comparisons within each sampling date (i.e., n = 12 for 0 WAE, 24 for 1 WAE, etc.).
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.